{"id":"W3116426216","doi":"10.1111/cag.12672","title":"Unintentional injury deaths among youth in Ontario, Canada from 2000 to 2015: Rates are falling but there are caveats","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Institute of Gender and Health","keywords":"Falling (accident); Demography; Mortality rate; Fell; Census; Injury prevention; Cause of death; Medicine; Poison control; Geography; Suicide prevention; Occupational safety and health; Environmental health; Population; Disease; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002029474,0.0003749466,0.0005876827,0.002817281,0.002916981,0.002220576,0.001992051,0.0005074878,0.004299502],"category_scores_gemma":[0.009041172,0.0003036987,0.000923778,0.00837915,0.001024615,0.001374832,0.001040363,0.0009080133,0.0004759411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03137867,"about_ca_system_score_gemma":0.0566582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967918,"about_ca_topic_score_gemma":0.9988621,"domain_scores_codex":[0.9977971,0.0001336136,0.0003247757,0.0002466297,0.0009911632,0.0005066869],"domain_scores_gemma":[0.9906328,0.0005431432,0.00177946,0.0003281305,0.005873487,0.000843038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001187215,0.00001881523,0.9284663,0.0007839677,0.0001648943,0.0001305501,0.002354075,0.000379608,0.0001569246,0.0008282544,0.04337152,0.02322632],"study_design_scores_gemma":[0.00001161758,0.0000183654,0.9771523,0.0004898077,0.00009825223,0.00006347023,0.0024967,0.0003328839,0.0001274168,0.0001603871,0.0190244,0.00002432324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5902552,0.02580718,0.002929084,0.05605306,0.001250996,0.0005042418,0.2643128,0.0004872712,0.05840023],"genre_scores_gemma":[0.9530612,0.008463651,0.002644779,0.003230985,0.0001635798,0.0001806417,0.02502131,0.00009636656,0.007137573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03137867,"threshold_uncertainty_score":0.2276692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738406569125434,"score_gpt":0.221158519796497,"score_spread":0.2037744541052426,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}